Data Governance Engineer (with GCP/BQ)

Our requirements

• Proven experience in data modelling for data warehouses and analytical layers.
• Experience integrating data from multiple source systems and defining consistent semantic models.
• Practical knowledge of BigQuery modelling best practices and Google Cloud data services.
• Experience in data governance within a large organisation; experience in the financial sector is advantageous but not required.
• Familiarity with data governance concepts including data ownership, stewardship, data dictionaries, metadata and lineage.
• Experience aligning business definitions and data semantics across stakeholders.
• Understanding of data quality issues and approaches to measurement and remediation.
• Experience designing performant, scalable and secure data solutions, including considerations for partitioning, clustering and query optimisation.
• Experience working with engineering teams to operationalise data models and governance standards.
• Knowledge of security topics relevant to GCP: IAM, encryption, auditing and access control.
• Strong communication skills and the ability to translate business requirements into technical data requirements.

Your responsibilities

• Develop and maintain data modelling standards for data warehouse layers, including integrated and analytical layers.
• Design data models and reference architectures optimized for BigQuery, applying partitioning, clustering and query optimisation techniques.
• Lead integration efforts for ingesting and consolidating data from multiple source systems, ensuring consistency and lineage.
• Define and document data governance policies, data dictionaries, metadata standards and lineage documentation in collaboration with data stewards and owners.
• Collaborate with business stakeholders to align business definitions and semantic models with technical implementations.
• Assess and improve data quality controls, implement monitoring and remediation guidance for data issues.
• Work alongside data engineers and implementation teams to deliver efficient, scalable and secure data solutions on GCP.
• Advise on GCP security controls, IAM, encryption, audit trails and access control for data environments.
• Identify cost drivers and recommend optimisation measures for storage, query execution and processing on BigQuery and related services.
• Contribute to governance operating models and role definitions for data owners, data stewards and other governance roles.

About the project

This is how we organize our work

This is how we work on a project

• Continuous Deployment
• Continuous Integration
• documentation
• issue tracking tools
• testing environments

What we offer

• Professional development opportunities and collaboration with cross-functional teams.
• Engagement in designing enterprise-level data governance and architecture on a modern cloud platform.
• Work with experienced data professionals and subject-matter experts across domains.
• Competitive compensation and role-specific allowances where applicable.
• Support for ongoing technical training and certification related to Google Cloud and data technologies.

Development opportunities we offer

• conferences in Poland
• development budget
• external training
• mentoring

Benefits

• private medical care
• remote work opportunities

Recruitment stages

• 1.
  Screening Call
• 2.
  Cultural Fit Interview
• 3.
  Technical Interview
• 4.
  Final Round Interview

YOUR ITEAMS sp. z o.o.